# How to convert 2D float numpy array to 2D int numpy array?

### Question

How to convert real numpy array to int numpy array? Tried using map directly to array but it did not work.

1
252
6/3/2012 8:46:28 PM

Use the `astype` method.

``````>>> x = np.array([[1.0, 2.3], [1.3, 2.9]])
>>> x
array([[ 1. ,  2.3],
[ 1.3,  2.9]])
>>> x.astype(int)
array([[1, 2],
[1, 2]])
``````
339
5/15/2018 6:19:51 PM

Some numpy functions for how to control the rounding: rint, floor,trunc, ceil. depending how u wish to round the floats, up, down, or to the nearest int.

``````>>> x = np.array([[1.0,2.3],[1.3,2.9]])
>>> x
array([[ 1. ,  2.3],
[ 1.3,  2.9]])
>>> y = np.trunc(x)
>>> y
array([[ 1.,  2.],
[ 1.,  2.]])
>>> z = np.ceil(x)
>>> z
array([[ 1.,  3.],
[ 2.,  3.]])
>>> t = np.floor(x)
>>> t
array([[ 1.,  2.],
[ 1.,  2.]])
>>> a = np.rint(x)
>>> a
array([[ 1.,  2.],
[ 1.,  3.]])
``````

To make one of this in to int, or one of the other types in numpy, astype (as answered by BrenBern):

``````a.astype(int)
array([[1, 2],
[1, 3]])

>>> y.astype(int)
array([[1, 2],
[1, 2]])
``````